Investigating the impact of transportation system and economic growth on carbon emissions: Application of GMM System for 33 european countries

Ghannouchi, Imen; Ouni, Fedy; Aloulou, Foued

doi:10.1007/s11356-023-28595-6

Cited by 5 publications

(1 citation statement)

References 86 publications

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“…The use of GMM to describe dynamic panels is a more comprehensive step to consider as opposed to the more traditional static panel models. Through GMM, it can be con rmed that transport has an inverse relationship with CO2 emissions (Ghannouchi et al, 2023). Transportation infrastructure that enhances the economy also accelerates the generation of carbon emissions (Acheampong et al, 2023).…”

Section: Relevant Empirical Methodsmentioning

confidence: 99%

Exploring the Impact of Transportation Infrastructure on Regional Economy in China based on GMM and Threshold Effects

Wei,

2023

Preprint

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With the continuous implementation of transportation strategies, the relationship between transportation infrastructure and the regional economy has been receiving extensive attention. However, in the face of the economic downturn, whether the investment in transportation infrastructure can obtain the expected return is worthy of further discussion. Firstly, this study uses random forests to downscale the provincial transportation indicators and constructs a comprehensive indicator reflecting the transportation infrastructure. Secondly, to control the influence of lagged economy, this research uses multiple linear regression model to determine the number of lagged periods of the economy. Subsequently, system Generalized Method of Moments (GMM) and difference GMM estimation are used to explore the relationship between transportation infrastructure and regional economy. Finally, this study explores the nonlinear relationship between the two through the threshold effect. The results show that in the context of economic downturn, transportation infrastructure is still positively correlated with the economy in general. In addition, the employment rate, population, fixed asset investment all have a driving effect on the economy. Industrial structure, on the other hand, currently harms the economy. Further, from a non-linear perspective, transportation infrastructure has an inverted U-shaped effect on the economy. Below the first threshold, transportation infrastructure is negatively correlated with the regional economy; when it lies between the first and second thresholds, the construction of transportation infrastructure has a high driving effect on the regional economy; when it is higher than the third threshold, this driving effect will be weakened.

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Section: Relevant Empirical Methodsmentioning

confidence: 99%

Exploring the Impact of Transportation Infrastructure on Regional Economy in China based on GMM and Threshold Effects

Wei,

2023

Preprint

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Current Technological Status and Future Prospect of Biojet Fuel Production

Yadav,

Dixit,

Sharma

2024

Clean Energy Production Technologies

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Nexuses between carbon emissions, trade openness, transport services, globalization index, and growth in China: targeting the sustainable development goals

Huang,

Quddoos,

Akhtar

et al. 2023

Environ Sci Pollut Res

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Since the end of the 20th century, the world has observed a considerable upsurge in carbon emissions as several countries have surfaced as industrial centers and production monsters worldwide. The present study contributes to the existing literature, which examines the effects of carbon-based emissions, industrial value-added, trade openness, transport services, railway lines, and globalization index on per capita GDP growth in China. The study covers a period of 38 years, from 1982 to 2020. A Vector error correction model (VECM) was applied to achieve the study's envisaged objectives. The ndings of this study reveal that carbon emissions are responsible for the reduction of per capita GDP growth in China. On the contrary, industrial value-added, transport services, railway lines, and globalization index positively support the per capita GDP growth dependent variable. The study proposes that pragmatic policies are needed to control pollution resulting from carbon emissions. The eventual effect of maintaining greenhouse gases is expected to assist in achieving sustainable growth of per capita GDP leading to the accomplishment of sustainable development goals in the economy.

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Investigating the impact of transportation system and economic growth on carbon emissions: Application of GMM System for 33 european countries

Cited by 5 publications

References 86 publications

Exploring the Impact of Transportation Infrastructure on Regional Economy in China based on GMM and Threshold Effects

Exploring the Impact of Transportation Infrastructure on Regional Economy in China based on GMM and Threshold Effects

Current Technological Status and Future Prospect of Biojet Fuel Production

Nexuses between carbon emissions, trade openness, transport services, globalization index, and growth in China: targeting the sustainable development goals

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